token.app › Compare › R1 vs GPT-5.6 Luna
R1 vs GPT-5.6 Luna
GPT-5.6 Luna leads on 2 of 2 shared benchmarks. GPT-5.6 Luna is 5.1× cheaper per token on a blended 3:1 basis. GPT-5.6 Luna accepts the larger context window (1.1M).
Head to head
Blended price uses a 3:1 input:output mix
| R1 | GPT-5.6 Luna | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Input $/1M | $0.700 | $0.100 |
| Output $/1M | $2.50 | $0.600 |
| Blended $/1M | $1.15 | $0.225 |
| Context window | 164K | 1.1M |
| Max output | 16K | 128K |
| Released | Jan 2025 | Jul 2026 |
| Licence | Open weights | Proprietary |
| GPQA Diamond | 71.7% | 91.6% |
| OTIS Mock AIME | 53.3% | 98.3% |
Benchmark scores independently run and published by Epoch AI, 'AI Benchmarking Hub', used under CC BY 4.0. Only benchmarks with a score for BOTH models are compared.
Choose R1 if…
- Open weights — self-hostable
Choose GPT-5.6 Luna if…
- Costs less per token — $0.225 vs $1.15 blended
- Higher GPQA Diamond (91.6% vs 71.7%)
- Higher OTIS Mock AIME (98.3% vs 53.3%)
- Larger context window (1.1M)
- Newer model (released Jul 2026)
FAQ
Which is better, R1 or GPT-5.6 Luna?
Across the 2 benchmarks both models have independently-run scores for, R1 leads on 0 and GPT-5.6 Luna leads on 2. Benchmarks are one input — price and context window are on this page too.
Is R1 cheaper than GPT-5.6 Luna?
GPT-5.6 Luna is cheaper: $0.225 versus $1.15 per million tokens blended at 3:1 input:output. Input alone: $0.700 vs $0.100. Output alone: $2.50 vs $0.600.
What context windows do R1 and GPT-5.6 Luna have?
R1: 163,840 tokens. GPT-5.6 Luna: 1,050,000 tokens.
Who makes R1 and GPT-5.6 Luna?
R1 is made by DeepSeek. GPT-5.6 Luna is made by OpenAI.